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. 2016 Jul 15;143(14):2677-88.
doi: 10.1242/dev.135434. Epub 2016 Jun 10.

The FaceBase Consortium: a comprehensive resource for craniofacial researchers

James F Brinkley  1 , Shannon Fisher  2 , Matthew P Harris  3 , Greg Holmes  4 , Joan E Hooper  5 , Ethylin Wang Jabs  4 , Kenneth L Jones  6 , Carl Kesselman  7 , Ophir D Klein  8 , Richard L Maas  9 , Mary L Marazita  10 , Licia Selleri  8 , Richard A Spritz  11 , Harm van Bakel  4 , Axel Visel  12 , Trevor J Williams  13 , Joanna Wysocka  14 ; FaceBase Consortium; Yang Chai  15
Affiliations

The FaceBase Consortium: a comprehensive resource for craniofacial researchers

James F Brinkley et al. Development. .

Abstract

The FaceBase Consortium, funded by the National Institute of Dental and Craniofacial Research, National Institutes of Health, is designed to accelerate understanding of craniofacial developmental biology by generating comprehensive data resources to empower the research community, exploring high-throughput technology, fostering new scientific collaborations among researchers and human/computer interactions, facilitating hypothesis-driven research and translating science into improved health care to benefit patients. The resources generated by the FaceBase projects include a number of dynamic imaging modalities, genome-wide association studies, software tools for analyzing human facial abnormalities, detailed phenotyping, anatomical and molecular atlases, global and specific gene expression patterns, and transcriptional profiling over the course of embryonic and postnatal development in animal models and humans. The integrated data visualization tools, faceted search infrastructure, and curation provided by the FaceBase Hub offer flexible and intuitive ways to interact with these multidisciplinary data. In parallel, the datasets also offer unique opportunities for new collaborations and training for researchers coming into the field of craniofacial studies. Here, we highlight the focus of each spoke project and the integration of datasets contributed by the spokes to facilitate craniofacial research.

Keywords: Craniofacial development; Data resource; FaceBase Consortium.

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Conflict of interest statement

Competing interests

The authors declare no competing or financial interests.

Figures

Fig. 1.
Fig. 1.
Architecture of the FaceBase 2 Consortium.
Fig. 2.
Fig. 2.
Proposed sampling of mouse embryonic facial tissue for ChIP-seq. LNP, lateral nasal process. MNP, medial nasal process. Mx, maxilla. Mble, mandible.
Fig. 3.
Fig. 3.
Home page of the FaceBase Human Genomics Interface tool (facebase.sdmgenetics.pitt.edu), depicting the projects that are currently accessible through the tool.
Fig. 4.
Fig. 4.
An integrated dataset including imaging, genotypic and phenotypic data. The Hub provides a faceted search infrastructure, allowing users to query the extensive metadata associated with each dataset. Data retrieved through queries can be transferred, compared, visualized, analyzed, shared, and more.
Fig. 5.
Fig. 5.
Summary of mouse datasets available on the FaceBase Hub as of December 2015, organized by age stage and anatomical features. Color-coding indicates the type of datasets available for the corresponding age stage and anatomical location. Clicking on any colored cell in the matrix leads to a list of links to the relevant datasets.
See this image and copyright information in PMC

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